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WORK 01 / In development

WorthSeen

绩见

Not prettier words. Better evidence.

The premise

WorthSeen starts with real work experience. Structured AI questioning helps people recover facts, clarify their own contribution, and form career evidence that can be confirmed, explained, and questioned.

01

Diagnose before rewriting

Find duty lists, missing context, unclear contribution, and experiences with no result evidence.

02

Focus on what matters

Prioritize the three to five experiences most likely to change a reader's judgment.

03

Recover facts through questions

Explore context, problem, action, personal contribution, and outcome step by step.

04

You confirm every result

Separate source material, user-supplied facts, and AI wording. Key numbers are never assumed.

05

Create claims worth questioning

Turn vague responsibilities into value claims with a problem, action, output, and impact.

Current build status

The text-based discovery loop is working

Paste text → structure and diagnose → question each experience → confirm facts → rewrite → export Markdown is connected today. PDF, Word, image OCR, JD tailoring, and the career evidence vault come later.

The product experience is being prepared.

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